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Machine Vision for Inspection

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Issues on Machine Vision

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 307))

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Abstract

One of the most important areas of application of machine vision today is that of inspection and measurement, because it is this area where the greatest economic benefits are likely to be realized in the near term. This article reviews some of the general concepts of machine vision from the point of view of using machine vision for inspection, measurement, and process control.

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References

  1. Aggarwal, J.K., and Y.F. Wang: Inference of object surface structure from structured lighting — an overview, in: Machine Vision, (Ed. H. Freeman), Academic Press, Boston, 1988, 193–220.

    Google Scholar 

  2. Ballard, D.H., and Brown, C.M.: Computer Vision, Prentice-Hall, Englewood Cliffs, NJ, 1982

    Google Scholar 

  3. Bolles, R.C., H.H. Baker, and D.H. Marimont: Epipolar-plane image analysis: an approach to determining structure from motion, Int. J. of Computer Vision, 1, (1), Kluwer, Boston, 1987, 7–55

    Article  Google Scholar 

  4. Burt, P.J.: ‘Smart sensing’ in machine vision, in: Machine Vision, (Ed. H. Freeman), Academic Press, Boston, 1988,1–30.

    Google Scholar 

  5. Capson, D. W., and S-K Eng: A tiered-color illumination approach for machine inspection of solder joints, IEEE Trans. PAMI 10, (3), 1988, 387–393.

    Article  Google Scholar 

  6. Chakravarty, L, and H. Freeman: Characteristic views as a basis for three-dimensional object recognition, SPIE vol. 336, Robot Vision, 1982, 37–45.

    Article  Google Scholar 

  7. Don, H., and K.S. Fu: A syntactic method for image segmentation and object recognition, J. Pattern Recognition, 18 (1), 1985, 73–87.

    Article  Google Scholar 

  8. Duda, R.O., and P.E. Hart: Pattern Classification and Scene Analysis, John Wiley & Sons, New York, 1973

    MATH  Google Scholar 

  9. Fu, K.S.: Syntactic Pattern Recognition and Applications, Prentice-Hall, Englewood Cliffs, NJ, 1982

    MATH  Google Scholar 

  10. Fukunaga, K.: Introduction to Statistical Pattern Recognition, Academic Press, New York, 1972

    Google Scholar 

  11. Gini, G., and M. Gini: A software laboratory for visual inspection and recognition, J. Pattern Recognition, 18 (1), 1985, 43–51.

    Article  MathSciNet  Google Scholar 

  12. Hall, E. L.: Computer Image Processing and Recognition, Academic Press, New York, 1979

    MATH  Google Scholar 

  13. Holland, S.W., L. Rossol, and M.R. Ward: CONSIGHT-1, a vision-controlled robot system for transferring parts from belt conveyors, in: Computer Vision and Sensor-Based Robots (Eds. G. Dodd and L. Rossol), Plenum Press, New York, 1979

    Google Scholar 

  14. Marr, D.: Vision, W. H. Freeman and Company, San Francisco, 1982

    Google Scholar 

  15. Masaki, I.: SEAMSIGHT: a parallel/pipelined vision system for seam tracking, Proc. 7th Int’l. Conf. Pattern Recognition, Montreal, 1984,424–427.

    Google Scholar 

  16. Mitiche, A., P. Bouthemy: Tracking modelled objects using binocular images, Computer Vision, Graphics, and Image Proc., 32 (3), 1985, 384–396.

    Article  Google Scholar 

  17. Mundy, J.L.: Industrial machine vision — is it practical?, in: Machine Vision (Ed. H. Freeman), Academic Press, Boston, 1988,109–148.

    Google Scholar 

  18. Nevatia, R.: Machine Perception, Prentice-Hall, Englewood Cliffs, NJ, 1982

    Google Scholar 

  19. Potmesil, M.: Generation of 3D surface descriptions from images of pattern-illuminated objects, Proc. IEEE Computer Society Conf.on Pattern Recognition and Image Processing, Chicago, IL, Aug. 1979

    Google Scholar 

  20. Pugh, A.: Robot Vision, Springer-Verlag, Heidelberg, 1983

    Book  Google Scholar 

  21. Shneier, M.O., R. Lumia, and E.W. Kent: Model-based strategies for high-level robot vision, Computer Vision, Graphics, and Image Proc., 33,1986, 293–306.

    Article  Google Scholar 

  22. Silva, M., and A. Roy: Robot programming and robot vision, in: Image Analysis and Processing (Eds. V. Cantoni, S. Levialdi, and G. Musso, Plenum Press, NY 1985.

    Google Scholar 

  23. Tanimoto, S., and Klinger, A., Structured Computer Vision, Academic Press,New York, 1980

    Google Scholar 

  24. Tsuji, S., et al: WIRESIGHT: a robot vision for determining 3D geometry of flexible wires from shadow information, Proc. 7th Int’l. Conf. Pattern Recognition, Montreal, 1984, 1358–60.

    Google Scholar 

  25. Yalamanchili, S., and J.K. Aggarwal: Analysis of a model for parallel image processing, J. Pattern Recognition, 18, (1), 1985, 1–16.

    Article  Google Scholar 

  26. Yoda, H., Y. Ohuchi, Y. Taniguchi, and M. Ejiri: An automatic wafer inspection system using pipelined image processing techniques, IEEE Trans. PAMI, 10, (1), 1988,4–16.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Rutgers University, Piscataway, NJ, USA

    H. Freeman

Authors
  1. H. Freeman
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Editor information

Editors and Affiliations

  1. Università di Udine, Italy

    G. G. Pieroni

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© 1989 Springer-Verlag Wien

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Freeman, H. (1989). Machine Vision for Inspection. In: Pieroni, G.G. (eds) Issues on Machine Vision. International Centre for Mechanical Sciences, vol 307. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2830-5_11

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  • DOI: https://doi.org/10.1007/978-3-7091-2830-5_11

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82148-0

  • Online ISBN: 978-3-7091-2830-5

  • eBook Packages: Springer Book Archive

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